Examination of bidirectional associations between neurocognitive functioning and housing stability in homeless adults: A longitudinal subgroup analysis of the at Home/Chez Soi study.
Bibliographic record
Abstract
OBJECTIVE: Homeless adults represent a marginalized group with numerous psychiatric and physical illness risk factors for poor functional outcomes. This study investigated bidirectional associations between housing stability and neurocognitive functioning in homeless adults using a longitudinal study design. METHOD: Participants were homeless adults with serious mental illness from the At Home/Chez Soi study Toronto site who participated in a randomized control trial of Housing First. Participants underwent a comprehensive structured baseline interview and clinical evaluation. Up to four brief cognitive evaluations were completed over a period of up to 6 years. Housing status was ascertained every 3 months during the study period. RESULTS: = .007), but not cognitive flexibility and processing speed, was associated with an increased likelihood of being stably housed in the subsequent 3 months. In a test of reverse associations, mixed-effects linear models did not reveal associations between housing stability in the preceding 3 months and neurocognitive functioning in either domain. CONCLUSIONS: These results suggest verbal learning and memory functioning is a key contributor to housing stability among homeless adults with serious mental illness. This work has important implications for health services that support individuals transitioning into stable housing and for the attainment of long-term functional independence. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".